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Record W4403722749 · doi:10.1109/access.2024.3485872

NRI-TL Metamaterial Leaky-Wave Antenna With Off-Broadside Zero Beam-Squinting

2024· article· en· W4403722749 on OpenAlexaff
Kyriakos Neophytou, Kypros M. Kossifos, Marco A. Antoniades

Bibliographic record

VenueIEEE Access · 2024
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Toronto
FundersEuropean Regional Development Fund
KeywordsBroadsideLeaky wave antennaMetamaterialMetamaterial antennaOpticsPhysicsAntenna (radio)Directional antennaDipole antennaMicrostrip antennaCoaxial antennaComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Presented is the analysis and design of a leaky-wave antenna (LWA) that radiates an off-broadside beam with zero beam-squinting (ZBS), operating at a frequency of 5.5 GHz. A general design methodology is presented, which can be used to design any fixed-beam leaky-wave antenna with different design requirements. Two oppositely-directed branches of LWAs utilizing negative-refractive-index transmission-line (NRI-TL) metamaterials are employed in the design. To achieve off-broadside radiation with zero beam-squinting, it is necessary for one branch to operate within the left-handed region, while the other branch to operate within the right-handed region. A 50-ohm microstrip line is used to feed the two NRI-TL LWAs which radiate two appositively directed beams whose combination results in a wideband off-broadside beam. The antenna was validated experimentally, and its fixed-beam operation was achieved for approximately a 20% fractional bandwidth.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.239
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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